Xiaobo Wu1, Joe Bisera, Wanchun Tang. 1. Weil Institute of Critical Care Medicine, Rancho Mirage, CA, United States. Electronic address: Mike_wu@weiliccm.org.
Abstract
OBJECTIVE: The possibility of successful defibrillation decreases with an increased duration of ventricular fibrillation (VF). Futile electrical shocks are inversely correlated with myocardial contractile function and long-term survival. Previous studies have demonstrated that various ECG waveform analyses predict the success of defibrillation. This study investigated whether the absolute amplitude of pre-shock VF waveform is likely to predict the success of defibrillation. METHODS: ECG recordings of 350 out-of-hospital cardiac arrest (OOHCA) patients were obtained from the automated external defibrillator (AED) and analyzed by the method of signal integral. Successful defibrillation was defined as organized rhythm with heart rate ≥40beat/min commencing within one min of post-shock period and persisting for a minimum of 30s. RESULTS: Signal integral was significantly greater in successful defibrillation than unsuccessful defibrillation (81.76±32.3mV vs. 34.9±15.33mV, p<0.001). The intersection of the sensitivity and specificity curve provided a threshold value of 51mV. The corresponding values of sensitivity, specificity, positive predictive and negative predictive values for successful defibrillation were 90%, 86%, 80% and 93%, respectively. The receiver operator curve further revealed that signal integral predicted the likelihood of successful defibrillation (area under the curve=0.949). CONCLUSIONS: Signal integral predicted successful electrical shocks on patients with ventricular fibrillation and have potential to optimize the timing of defibrillation and reduce the number of electrical shocks.
OBJECTIVE: The possibility of successful defibrillation decreases with an increased duration of ventricular fibrillation (VF). Futile electrical shocks are inversely correlated with myocardial contractile function and long-term survival. Previous studies have demonstrated that various ECG waveform analyses predict the success of defibrillation. This study investigated whether the absolute amplitude of pre-shock VF waveform is likely to predict the success of defibrillation. METHODS: ECG recordings of 350 out-of-hospital cardiac arrest (OOHCA) patients were obtained from the automated external defibrillator (AED) and analyzed by the method of signal integral. Successful defibrillation was defined as organized rhythm with heart rate ≥40beat/min commencing within one min of post-shock period and persisting for a minimum of 30s. RESULTS: Signal integral was significantly greater in successful defibrillation than unsuccessful defibrillation (81.76±32.3mV vs. 34.9±15.33mV, p<0.001). The intersection of the sensitivity and specificity curve provided a threshold value of 51mV. The corresponding values of sensitivity, specificity, positive predictive and negative predictive values for successful defibrillation were 90%, 86%, 80% and 93%, respectively. The receiver operator curve further revealed that signal integral predicted the likelihood of successful defibrillation (area under the curve=0.949). CONCLUSIONS: Signal integral predicted successful electrical shocks on patients with ventricular fibrillation and have potential to optimize the timing of defibrillation and reduce the number of electrical shocks.
Authors: Jason Coult; Jennifer Blackwood; Lawrence Sherman; Thomas D Rea; Peter J Kudenchuk; Heemun Kwok Journal: Circ Arrhythm Electrophysiol Date: 2019-01
Authors: Beatriz Chicote; Unai Irusta; Elisabete Aramendi; Raúl Alcaraz; José Joaquín Rieta; Iraia Isasi; Daniel Alonso; María Del Mar Baqueriza; Karlos Ibarguren Journal: Entropy (Basel) Date: 2018-08-09 Impact factor: 2.524
Authors: Dieter Bender; Ryan W Morgan; Vinay M Nadkarni; Robert A Berg; Bingqing Zhang; Todd J Kilbaugh; Robert M Sutton; C Nataraj Journal: Resusc Plus Date: 2020-12-14
Authors: Jasmeet Soar; Bernd W Böttiger; Pierre Carli; Keith Couper; Charles D Deakin; Therese Djärv; Carsten Lott; Theresa Olasveengen; Peter Paal; Tommaso Pellis; Gavin D Perkins; Claudio Sandroni; Jerry P Nolan Journal: Notf Rett Med Date: 2021-06-08 Impact factor: 0.826
Authors: Jasmeet Soar; Katherine M Berg; Lars W Andersen; Bernd W Böttiger; Sofia Cacciola; Clifton W Callaway; Keith Couper; Tobias Cronberg; Sonia D'Arrigo; Charles D Deakin; Michael W Donnino; Ian R Drennan; Asger Granfeldt; Cornelia W E Hoedemaekers; Mathias J Holmberg; Cindy H Hsu; Marlijn Kamps; Szymon Musiol; Kevin J Nation; Robert W Neumar; Tonia Nicholson; Brian J O'Neil; Quentin Otto; Edison Ferreira de Paiva; Michael J A Parr; Joshua C Reynolds; Claudio Sandroni; Barnaby R Scholefield; Markus B Skrifvars; Tzong-Luen Wang; Wolfgang A Wetsch; Joyce Yeung; Peter T Morley; Laurie J Morrison; Michelle Welsford; Mary Fran Hazinski; Jerry P Nolan Journal: Resuscitation Date: 2020-10-21 Impact factor: 5.262